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Direct linkRichard Brown; Elizabeth Sillence; Dawn Branley-Bell – Journal of Educational Technology Systems, 2025
We investigate perceptions of AI among university students and staff, focusing on sociodemographic predictors of use, attitudes and literacy. We follow an explanatory mixed-methods approach: an online survey (269 students and staff) capturing self-reported AI use, attitudes, and literacy, and 24 semi-structured online interviews exploring barriers…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Student Attitudes
Dogan, Nihan A.; Dawson, Kara; Ritzhaupt, Albert D. – Journal of Educational Technology Systems, 2021
This study used the Technology Use and Perceptions Survey to explore whether there are differences reported by teachers (N = 1,287) from elementary, middle, and high schools from a single school district. A two-step data analysis process using multivariate analysis of variance and item-by-item analysis of variance was employed. We used our…
Descriptors: Elementary School Teachers, Middle School Teachers, High School Teachers, Teacher Attitudes
Shih, Yi-Hsuen; Liu, Min – Journal of Educational Technology Systems, 2008
As technology evolves rapidly, users of technology products and interactive computing systems are no longer only satisfied with the levels of product efficiency and effectiveness. Users are also looking for emotional satisfaction from using and interacting with the products. With powerful interactive features technology can potentially deliver…
Descriptors: Computers, Technology Uses in Education, Computer Uses in Education, Computer System Design
